get_so2: Extract Sulphur Dioxide data of Sentinel5
In healthinnovation/lis: InnovaLab Toolkit

get_so2

R Documentation

Extract Sulphur Dioxide data of Sentinel5

Description

A function that extract a time series of Sulphur Dioxide (2018-07-10T11:17:44Z - 2022-05-15T00:00:00).

Usage

get_so2(from, to, band, region, fun = "max", scale = 1000)

Arguments

`to`, `from`	it's a string object,starting and final date.
`band`	name of band.
`region`	is a feature or feature collection.
`fun`	function for extract statistic zonal (count, kurtosis, max, mean, median, min, mode, percentile, std, sum, variance, first).
`scale`	A nominal scale in meters of the projection to work in.

Details

Name of some bands.

SO2_column_number_density (mol/m²): SO2 vertical column density at ground level, calculated using the DOAS technique.
SO2_column_number_density_amf (mol/m²): Weighted mean of cloudy and clear air mass factor (amf) weighted by intensity-weighted cloud fraction.
SO2_slant_column_number_density (mol/m²): SO2 ring corrected slant column number density.
cloud_fraction: Effective cloud fraction. See the Sentinel 5P L2 Input/Output Data Definition Spec, p.220.
sensor_azimuth_angle (degree): Azimuth angle of the satellite at the ground pixel location (WGS84); angle measured East-of-North.
sensor_zenith_angle (degree): Zenith angle of the satellite at the ground pixel location (WGS84); angle measured away from the vertical.
solar_azimuth_angle (degree): Azimuth angle of the Sun at the ground pixel location (WGS84); angle measured East-of-North.
solar_zenith_angle (degree): Zenith angle of the satellite at the ground pixel location (WGS84); angle measured away from the vertical.
SO2_column_number_density_15km (mol/m²): SO2 vertical column density at 15km, calculated using the DOAS technique.

Value

a tibble object with the new variables.

Examples

## Not run: 

library(tidyverse)
library(rgee)
library(innovar)
library(sf)
ee_Initialize()

# 1. Reading a sf object
data("Peru")
region <- Peru
region_ee <- pol_as_ee(region , id = 'distr' , simplify = 1000)
# 2. Extracting climate information
data <- region_ee %>% get_so2(
  from = "2019-02-01", to = "2019-12-31",
  band = "SO2_column_number_density", fun = "max")

## End(Not run)

healthinnovation/lis documentation built on June 19, 2024, 6:06 a.m.